Laboratory of Functionalized Molecular Solids, Ministry of Education, Anhui Key Laboratory of Chemo/Biosensing, College of Chemistry and Materials Science, Anhui Normal University, Wuhu 241002, China.
ACS Appl Mater Interfaces. 2020 Apr 15;12(15):17185-17192. doi: 10.1021/acsami.9b23147. Epub 2020 Mar 31.
Many metal-organic frameworks have been designed and synthesized for biosensors because of high surface area and porosity, suitable size, and good biocompatibility. Despite recent advances, however, most of them are only used as a nanocarrier. In this work, a new artificial nanozyme was constructed on a metalloporphyrinic metal-organic framework (PMOF(Fe)), which was formed by Fe porphyrin and Zr ions. Then, ultrasmall Pt nanoparticles (Pt NPs) were loaded on the surface of PMOF(Fe) to form Pt@PMOF(Fe). Because of the high surface area and exposed Fe activity center, PMOF(Fe) works as a nanocarrier to hinder the Pt NP aggregation and exhibits high peroxidase-mimicking activity. Hence, Pt NPs decorated on the surface of PMOF(Fe) possessed high stability and exhibited high activity. Due to the synergistic effect between PMOF(Fe) and Pt NPs, Pt@PMOF(Fe) exhibits superior catalase- and peroxidase-like activities. Moreover, Pt@PMOF(Fe) possesses high electrocatalytic activity toward the reduction of HO and the oxygen reduction reaction (ORR). This strategy may serve as a strong foundation to design MOF-based artificial nanozymes and develop an ideal platform for MOFs and nanozymes toward artificial enzymatic catalytic systems, fuel cells and new analytical applications.
由于具有高比表面积和孔隙率、合适的尺寸以及良好的生物相容性,许多金属有机骨架已被设计和合成用于生物传感器。然而,尽管最近取得了进展,但它们中的大多数仍仅用作纳米载体。在这项工作中,在由 Fe 卟啉和 Zr 离子形成的金属卟啉金属有机骨架(PMOF(Fe))上构建了一种新型人工纳米酶。然后,将超小的 Pt 纳米颗粒(Pt NPs)负载在 PMOF(Fe)的表面上以形成 Pt@PMOF(Fe)。由于高的比表面积和暴露的 Fe 活性中心,PMOF(Fe)作为纳米载体阻碍了 Pt NP 的聚集,并表现出高过氧化物酶模拟活性。因此,负载在 PMOF(Fe)表面上的 Pt NPs 具有高稳定性和高活性。由于 PMOF(Fe)和 Pt NPs 之间的协同作用,Pt@PMOF(Fe)表现出优异的过氧化氢酶和过氧化物酶样活性。此外,Pt@PMOF(Fe)对 HO 的还原和氧还原反应(ORR)具有高电催化活性。该策略可能为设计基于 MOF 的人工纳米酶以及为 MOFs 和纳米酶开发理想的人工酶催化系统、燃料电池和新的分析应用平台提供坚实的基础。
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